{"id":"W3158285756","doi":"10.2139/ssrn.3836262","title":"How has COVID-19 Impacted Customer Relationship Dynamics at Restaurant Food Delivery Businesses?","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Counterfactual thinking; Event (particle physics); Baseline (sea); Consumption (sociology); Purchasing; Population; Econometrics; Pandemic; Marketing; Coronavirus disease 2019 (COVID-19); Business; Economics; Advertising; Psychology; Medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004876639,0.0002807624,0.0005465661,0.001367295,0.004137833,0.00842898,0.002512523,0.002002722,0.01974585],"category_scores_gemma":[0.01577744,0.0004503409,0.0005957701,0.002277446,0.001972346,0.003166468,0.004700187,0.003662257,0.002891185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008215935,"about_ca_system_score_gemma":0.006546013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1153765,"about_ca_topic_score_gemma":0.1889386,"domain_scores_codex":[0.9937719,0.001999061,0.0002476527,0.0006766553,0.001130728,0.002174128],"domain_scores_gemma":[0.9800883,0.003348926,0.00443442,0.0007489258,0.003677145,0.007702263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004651627,0.000979734,0.9514353,0.00005974952,0.00006436651,0.0002851382,0.008769897,0.0001529344,0.0003749615,0.003679694,0.004515226,0.02921781],"study_design_scores_gemma":[0.00001378253,0.0001557963,0.9586206,0.00009976311,0.00002682968,0.00008575981,0.0301349,0.0003443602,0.0001765761,0.0004991494,0.009813478,0.00002885267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800916,0.0002999274,0.0001055003,0.004247175,0.00007886552,0.00002836712,0.0005302656,0.00001614378,0.01460205],"genre_scores_gemma":[0.9936336,0.0001440927,0.000123313,0.0006065227,0.00004090736,0.00001916716,0.0004983034,0.00002539727,0.004908694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1153765,"threshold_uncertainty_score":0.2294098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03393611250062844,"score_gpt":0.2458245566164978,"score_spread":0.2118884441158694,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}